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Remote Data Labeling Jobs in Burlington, ON (NOW HIRING)

Video Data Reviewer - Egocentric

Toronto, ON ยท Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Video Data Reviewer - Egocentric

Toronto, ON ยท Remote

CA$20 - CA$25/hr

Remote Duration: Approximately 2 weeks Role Responsibilities * Review egocentric video data and ... Preferred * Experience with video annotation, data labeling, computer vision datasets, or ...

Remote Role Responsibilities * Find images that may cause AI models to count incorrectly. Use ... Experience with photography, image editing, data labeling, or other detail-focused work.

Registered Nurses (Data labelling and training) Type: Contract Compensation: $60-$80/hour Location: Remote Role Responsibilities * Review and assess clinical documentation for accuracy, completeness ...

Network Engineer - Data Annotation

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify network ...

Network Engineer - Data Annotation

Toronto, ON ยท Remote

CA$50 - CA$70/hr

Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. * Label and classify network ...

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... labeling approaches * Experience designing and operating DLP controls across endpoints, network ...

Annotate, categorize, or label text, audio, images, video, or other data where required. * Provide ... Fully remote in Canada with complete schedule flexibility * Employment Type: Freelance * Pay Rate ...

Pharmacist - Lexidrug Expert

Toronto, ON ยท Remote

CA$75 - CA$120/hr

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

New

Remote Role Responsibilities * Confirm interaction, dosing, or contraindication findings against ... Prior data annotation, labeling, or AI evaluation experience Application Process (Takes 20-30 mins ...

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Remote Data Labeling information

See Burlington, ON salary details

$10

$33

$74

How much do remote data labeling jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote data labeling in Burlington, ON is $33.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.53 and $44.93 per hour, depending on experience, location, and employer.

What is remote data labeling?

A Remote Data Labeling job involves annotating or categorizing data, such as images, text, audio, or video, to train machine learning models. Workers review and tag content based on specific guidelines provided by companies. This job is typically done online from home and requires attention to detail, consistency, and sometimes specialized domain knowledge. It plays a crucial role in improving artificial intelligence systems by providing high-quality labeled data.

What skills and qualifications are needed for remote data labeling?

To thrive as a Remote Data Labeling specialist, you need strong attention to detail, basic data analysis skills, and the ability to accurately tag and categorize diverse data types, often with a high school diploma or equivalent. Familiarity with data labeling platforms, annotation tools (such as Labelbox or Amazon SageMaker Ground Truth), and, occasionally, basic knowledge of data privacy standards is helpful. Time management, self-discipline, and effective remote communication are valuable soft skills in this position. These skills ensure that labeled data is accurate and reliable, supporting the success of machine learning and AI projects.

What are common challenges faced by remote data labelers, and how can they be managed?

Remote data labelers often face challenges such as maintaining focus during repetitive tasks, managing volume-based workloads, and interpreting ambiguous data with consistency. To manage these, it's important to set up a distraction-free workspace, take regular breaks to avoid fatigue, and seek clarification from supervisors or project guidelines when uncertainties arise. Most companies provide onboarding and ongoing support to help new labelers understand annotation standards and best practices. Collaborating with remote team members via chat or project management platforms also helps maintain quality and stay connected. By being proactive and utilizing available resources, remote data labelers can maintain high accuracy and productivity.

What cities near Burlington, ON are hiring for Remote Data Labeling jobs?

Cities near Burlington, ON with the most Remote Data Labeling job openings:

Infographic showing various Remote Data Labeling job openings in Burlington, ON as of August 2026, with employment types broken down into 45% Full Time, 31% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,180 per year, or $33.3 per hour.

Visual Data Analyst - Fully Remote | Upto $35/hr

Mercor

Toronto, ON โ€ข Remote

CA$35/hr

Full-time

Posted 16 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Image Reasoning Generalist
Type: Contract
Compensation: $35/hour
Location: Remote

Role Responsibilities

  • Find images that may cause AI models to count incorrectly. Use original, public domain, or AI-generated images.
  • Identify elements that might confuse models, such as misleading text or similar-looking objects.
  • Test images with AI models using the prompt: "How many X are there? Return an integer."
  • Write additional prompts to provide context and label tasks effectively.
  • Work independently and asynchronously to ensure accuracy and consistency in task completion.

Qualifications

Must-Have

  • Strong written English skills for clear and understandable prompts.
  • Good attention to detail to identify potential model confusion in images.
  • Consistency and reliability in handling multiple tasks.

Preferred

  • Experience with photography, image editing, data labeling, or other detail-focused work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.